Summer 2012
Instructor: Dr. Dawn Mackey
Office: K8629
Email: dmackey@sfu.ca
Course Description: This
course emphasizes the application of statistical and data acquisition methods
in relation to various research designs that are relevant to Biomedical
Physiology and Kinesiology. The course builds upon the statistical knowledge
acquired in STAT 201 and covers evaluation of measurement quality, statistical
test construction and assessment, and computer techniques for data acquisition
and signal processing relevant to issues in Biomedical Physiology and
Kinesiology. A key component of the course is learning how to write a
peer-reviewed journal article. Both the writing assignment and course project
will be marked, reviewed and returned to the student for revision and
resubmission.
Prerequisites: KIN 142, 201, 205, and STAT 201.
Lectures and Lab Tutorials: The course includes two hours of
lecture on Tuesdays, one hour of lecture on Fridays, and one hour of tutorial
in a computer teaching lab on Fridays.
Text: Inquiry & Measurement in
Kinesiology, Ward 2005. This is a custom text written specifically to cover the
diverse topics in this course. Chapters will be posted as .pdf files on the
course website at no charge.
Evaluation:
|
Lab
Results Sheets (handed out at each lab) |
4% |
|
Lab
Midterm 1 (Week 7) Lab
Midterm 2 (Week 12) |
6% 5% |
|
Project
Part I (Results Section) 1st
Submission (Week 7)
10% 2nd
Submission (at Final Exam) 5% |
15% |
|
Project
Part II (Complete Journal Article) 1st
Submission (Week 11)
30% 2nd
Submission (at Final Exam) 5% |
35% |
|
Final
Exam |
35% |
Lab Tutorials: Lab Tutorials will be held in a
University Computer Teaching Lab. The T.A. will address skills and evaluation
procedures necessary for the completion of the tutorials. Numerous example data
sets and analyses will be used. Lab results sheets will be handed out at the
beginning of lab.
These sheets will be completed during the lab and submitted before leaving at
the end of the lab. These sheets will not be
handed out before the beginning of your registered lab.
Lab Midterms: There will be two 45-minute
practical exams held during your regularly scheduled lab time in weeks 7 and
12. Lab midterms will test the knowledge and skills acquired in the preceding
labs.
Project Part I: Students will be required to write
the Results section of a journal article based on the results obtained
from the data analysis completed in the Week 5 lab. This writing assignment
will be given in Week 5 and is due at the Tuesday lecture in Week 7 (1st
submission). Project Part I will be edited and returned to the student in Week
9. The student will revise the Project Part I and re-submit it for 2nd
submission at the final exam. Hand-in the marked 1st submission
of the Project Part I with the 2nd submission.
Project Part II: Building on the Results section
completed for Project Part I, Students will be required to write a complete journal
article as one would submit to a scientific journal. Project Part II will
be due for 1st submission at Tuesday lecture in Week 11. This will
be edited and returned to the student at Tuesday lecture in Week 13. The
student will revise the Project Part II and re-submit it for 2nd
submission at the final exam. Hand-in the marked 1st submission
of the Project Part II with the 2nd submission.
Attendance: Class attendance is strongly
recommended. You are not required to attend class. However, if you choose not
to attend, do not expect the instructor to repeat announcements, to loan you
her lecture materials, or to give you any handouts that might have been
distributed. If you know that you are going to miss a class, you might want to
ask a classmate to pick up materials for you and to borrow her notes. If extenuating
circumstances (unusual circumstances beyond your control, such as death of
a close family member or illness) cause you to miss a lab or other marked
activity, you should contact the instructor to make alternate arrangements as
soon as you can. If you will need to miss class for a religious holiday or
travel related to a university function (e.g., athletic competition), please
let the instructor know within the first week of the semester.
The procedure to be followed if you
miss class work due to illness is explained at the following link. http://students.sfu.ca/health/healthclinics/sicknotes.html
If a medical note is appropriate, please
bring a Health Care Provider Statement, to your physician for completion,
especially if it is required for labs, midterms, the project, and final exam.
The completed note should state the limitations caused by your sickness (e.g.
requires bed rest, will not be able to sit for extended periods, cannot
concentrate etc.)
The Health Care Provider form is
available at the following link: http://students.sfu.ca/health/healthclinics/deferrals.pdf
Academic Honesty and Student
Conduct: Academic
honesty is a condition of continued membership in the University community.
Academic dishonesty, including plagiarism or any other form of cheating is
subject to serious academic penalty, i.e., failure on an assignment, failure in
a course, suspension or expulsion from the University. The University codes of
student conduct and academic honesty are contained in policies T10.01 and
T10.02, which are available at http://www.sfu.ca/policies/gazette/teaching.html.
Office Hours: Dr. Mackey’s office hours are
Fridays from 9:00 – 10:00 am in K8629. Brett Shaw (Writer Marker) will
hold a number of office hours throughout the semester in K8619 to provide
assistance and feedback on the project (written assignments). Brett’s office
hours will be as follows:
Tuesday June 12, 1:30-2:30pm
Monday June 18, 1:30-2:30pm
Tuesday July 3, 1:00-2:00pm
Thursday July 5, 1:00-2:00pm
Tuesday July 10, 1:00-2:00pm
Monday July 16, 9:00-10:00am
Tuesday July 31, 1:00-2:00pm
Wednesday August 1, 9:00-10:00am
Thursday August 2, 1:00-2:00pm
Week
|
Tuesday Lecture
|
Friday Lab
|
Readings
|
|
#1 Tuesday |
|
No Lab |
|
|
#2 Tuesday May 15 |
The
Normal Distribution and Descriptive Statistics Intro to EXCEL & SPSS |
Lab 1:
Introduction to SPSS
|
Chap 1-3:
Processing Data using EXCEL Chap
1-4: Processing Data using SPSS Chap 2-1: Descriptive
Statistics Chap 2-2: Norms & Rating
Scales |
|
#3 Tuesday May 22 |
|
|
Chap 2-4: Inferential
Statistics |
|
#4 Tuesday May 29 |
Lab
3: T tests, ANOVA
|
Chap 2-7:
Tests of Differences between Means |
|
|
#5 Tuesday June 5 |
Tests
of Differences between Means III |
Lab 4: RM-ANOVA
Project Analysis During lab we will do the data
analysis for the Project |
|
|
#6 Tuesday June 12 |
|
Lab 5:
Correlation & Regression |
|
|
#7 Tuesday June 19 |
Literature Review Friday: 30 min Q & A period
before Lab Midterm Project Part I
(Results Section) due at beginning of lecture on Tuesday, June 19 |
Lab Midterm 1
In your registered lab time (45 mins). Open
book, open computer, but no e-mailing or texting.
This is the dataset
for Lab Midterm 1 |
|
|
#8 Tuesday June 26 |
Lab 6: NonParametric
Statistics |
||
|
#9 Tuesday |
Project Part I will
be returned in lecture on Tues, July 3 |
|
Chap
2-12: Mathematical Modeling of Serial Data |
|
#10 Tuesday July 10 |
|
Lab 8: Modeling
Skinfold Compressibility |
|
|
#11 Tuesday July 17 |
A/D Example: Guest Lecture Project Part II due
at beginning of lecture on Tuesday, July 17 |
|
|
|
#12 Tuesday July 24 |
Undergrad
Research Opportunities Friday: 30 min Q & A period
before Lab Midterm |
Lab Midterm 2
In your registered lab time (45 mins). Open
book, open computer, but no e-mailing or texting.
I will post the
dataset for lab midterm #2 |
|
|
#13 Tuesday July 31 |
Project Part II will
be returned in lecture on Tues, July 31 |
No Lab |
|
|
Exam Period |
Final Exam Saturday, August
11 8:30 am - 11:30 am Location TBA Closed Book 3 Hours |
Revised Project Parts
I and II (2nd submission) due at final exam. (Hand-in marked 1st
submissions with 2nd submission.) |
|